November 4, 2025
5 mins

Top User Research Platforms 2025

User research software isn't what it used to be. The days of insights being locked away in specialist UX research teams are fading fast, replaced by a world where product managers, designers, and even marketers are running their own usability testing, prototype validation, and user interviews. The best UX research platforms powering this shift have evolved from complex enterprise software into tools that genuinely enable teams to test with users, analyze results, and share insights faster.

This isn't just about better software, it's about a fundamental transformation in how organizations make decisions. Let's explore the top user research tools in 2025, what makes each one worth considering, and how they're changing the research landscape.


What Makes a UX Research Platform All-in-One?


The shift toward all-in-one UX research platforms reflects a deeper need: teams want to move from idea to insight without juggling multiple tools, logins, or data silos. A truly comprehensive research platform combines several key capabilities within a unified workflow.

The best all-in-one platforms integrate study design, participant recruitment, multiple research methods (from usability testing to surveys to interviews to navigation testing to prototype testing), AI-powered analysis, and insight management in one cohesive experience. This isn't just about feature breadth, it's about eliminating the friction that prevents research from influencing decisions. When your entire research workflow lives in one platform, insights move faster from discovery to action.

What separates genuine all-in-one solutions from feature-heavy tools is thoughtful integration. The best platforms ensure that data flows seamlessly between methods, participants can be recruited consistently across study types, and insights build upon each other rather than existing in isolation. This integrated approach enables both quick validation studies and comprehensive strategic research within the same environment.

1. Optimal: Best End-to-End UX Research Platform


Optimal has carved out a unique position in the UX research landscape: it’s powerful enough for enterprise teams at Netflix, HSBC, Lego, and Toyota, yet intuitive enough that anyone, product managers, designers, even marketers, can confidently run usability studies. That balance between depth and accessibility is hard to achieve, and it's where Optimal shines.

Unlike fragmented tool stacks, Optimal is a complete User Insights Platform that supports the full research workflow. It covers everything from study design and participant recruitment to usability testing, prototype validation, AI-assisted interviews, and a research repository. You don't need multiple logins or wonder where your data lives, it's all in one place.

Two recent features push the platform even further:

  • Live Site Testing: Run usability studies on your actual live product, capturing real user behavior in production environments.

  • Interviews: AI-assisted analysis dramatically cuts down time-to-insight from moderated sessions, without losing the nuance that makes qualitative research valuable.



One of Optimal's biggest advantages is its pricing model. There are no per-seat fees, no participant caps, and no limits on the number of users. Pricing is usage-based, so anyone on your team can run a study without needing a separate license or blowing your budget. It's a model built to support research at scale, not gate it behind permissioning.

Reviews on G2 reflect this balance between power and ease. Users consistently highlight Optimal's intuitive interface, responsive customer support, and fast turnaround from study to insight. Many reviewers also call out its AI-powered features, which help teams synthesize findings and communicate insights more effectively. These reviews reinforce Optimal's position as an all-in-one platform that supports research from everyday usability checks to strategic deep dives.

The bottom line? Optimal isn't just a suite of user research tools. It's a system that enables anyone in your organization to participate in user-centered decision-making, while giving researchers the advanced features they need to go deeper.

2. UserTesting: Remote Usability Testing


UserTesting built its reputation on one thing: remote usability testing with real-time video feedback. Watch people interact with your product, hear them think aloud, see where they get confused. It's immediate and visceral in a way that heat maps and analytics can't match.

The platform excels at both moderated and unmoderated usability testing, with strong user panel access that enables quick turnaround. Large teams particularly appreciate how fast they can gather sentiment data across UX research studies, marketing campaigns, and product launches. If you need authentic user reactions captured on video, UserTesting delivers consistently.

That said, reviews on G2 and Capterra note that while video feedback is excellent, teams often need to supplement UserTesting with additional tools for deeper analysis and insight management. The platform's strength is capturing reactions, though some users mention the analysis capabilities and data export features could be more robust for teams running comprehensive research programs.

A significant consideration: UserTesting operates on a high-cost model with per-user annual fees plus additional session-based charges. This pricing structure can create unpredictable costs that escalate as your research volume grows, teams often report budget surprises when conducting longer studies or more frequent research. For organizations scaling their research practice, transparent and predictable pricing becomes increasingly important.

3. Maze: Rapid Prototype Testing


Maze understands that speed matters. Design teams working in agile environments don't have weeks to wait for findings, they need answers now. The platform leans into this reality with rapid prototype testing and continuous discovery research, making it particularly appealing to individual designers and small product teams.

Its Figma integration is convenient for quick prototype tests. However, the platform's focus on speed involves trade-offs in flexibility as users note rigid question structures and limited test customization options compared to more comprehensive platforms. For straightforward usability tests, this works fine. For complex research requiring custom flows or advanced interactions, the constraints become more apparent.

User feedback suggests Maze excels at directional insights and quick design validation. However, researchers looking for deep qualitative analysis or longitudinal studies may find the platform limited. As one G2 reviewer noted, "perfect for quick design validation, less so for strategic research." The reporting tends toward surface-level metrics rather than the layered, strategic insights enterprise teams often need for major product decisions.

For teams scaling their research practice, some considerations emerge. Lower-tier plans limit the number of studies you can run per month, and full access to card sorting, tree testing, and advanced prototype testing requires higher-tier plans. For teams running continuous research or multiple studies weekly, these study caps and feature gates can become restrictive. Users also report prototype stability issues, particularly on mobile devices and with complex design systems, which can disrupt testing sessions. Originally built for individual designers, Maze works well for smaller teams but may lack the enterprise features, security protocols, and dedicated support that large organizations require for comprehensive research programs.

4. Dovetail: Research Centralization Hub

Dovetail has positioned itself as the research repository and analysis platform that helps teams make sense of their growing body of insights. Rather than conducting tests directly, Dovetail shines as a centralization hub where research from various sources can be tagged, analyzed, and shared across the organization. Its collaboration features ensure that insights don't get buried in individual files but become organizational knowledge.

Many teams use Dovetail alongside testing platforms like Optimal, creating a powerful combination where studies are conducted in dedicated research tools and then synthesized in Dovetail's collaborative environment. For organizations struggling with insight fragmentation or research accessibility, Dovetail offers a compelling solution to ensure research actually influences decisions.

6. Lookback: Moderated User Interviews


Lookback specializes in moderated user interviews and remote testing, offering a clean, focused interface that stays out of the way of genuine human conversation. The platform is designed specifically for qualitative UX work, where the goal is deep understanding rather than statistical significance. Its streamlined approach to session recording and collaboration makes it easy for teams to conduct and share interview findings.

For researchers who prioritize depth over breadth and want a tool that facilitates genuine conversation without overwhelming complexity, Lookback delivers a refined experience. It's particularly popular among UX researchers who spend significant time in one-on-one sessions and value tools that respect the craft of qualitative inquiry.

7. Lyssna: Quick and lite design feedback


Lyssna (formerly UsabilityHub) positions itself as a straightforward, budget-friendly option for teams needing quick feedback on designs. The platform emphasizes simplicity and fast turnaround, making it accessible for smaller teams or those just starting their research practice.

The interface is deliberately simple, which reduces the learning curve for new users. For basic preference tests, first-click tests, and simple prototype validation, Lyssna's streamlined approach gets you answers quickly without overwhelming complexity.

However, this simplicity involves significant trade-offs. The platform operates primarily as a self-service testing tool rather than a comprehensive research platform. Teams report that Lyssna lacks AI-powered analysis, you're working with raw data and manual interpretation rather than automated insight generation. The participant panel is notably smaller (around 530,000 participants) with limited geographic reach compared to enterprise platforms, and users mention quality control issues where participants don't consistently match requested criteria.

For organizations scaling beyond basic validation, the limitations become more apparent. There's no managed recruitment service for complex targeting needs, no enterprise security certifications, and limited support infrastructure. The reporting stays at a basic metrics level without the layered analysis or strategic insights that inform major product decisions. Lyssna works well for simple, low-stakes testing on limited budgets, but teams with strategic research needs, global requirements, or quality-critical studies typically require more robust capabilities.

Emerging Trends in User Research for 2025


The UX and user research industry is shifting in important ways:

Live environment usability testing is growing. Insights from real users on live sites are proving more reliable than artificial prototype studies. Optimal is leading this shift with dedicated Live Site Testing capabilities that capture authentic behavior where it matters most.

AI-powered research tools are finally delivering on their promise, speeding up analysis while preserving depth. The best implementations, like Optimal's Interviews, handle time-consuming synthesis without losing the nuanced context that makes qualitative research valuable.

Research democratization means UX research is no longer locked in specialist teams. Product managers, designers, and marketers are now empowered to run studies. This doesn't replace research expertise; it amplifies it by letting specialists focus on complex strategic questions while teams self-serve for straightforward validation.

Inclusive, global recruitment is now non-negotiable. Platforms that support accessibility testing and global participant diversity are gaining serious traction. Understanding users across geographies, abilities, and contexts has moved from nice-to-have to essential for building products that truly serve everyone.

How to Choose the Right Platform for Your Team


Forget feature checklists. Instead, ask:

Do you need qualitative vs. quantitative UX research? Some platforms excel at one, while others like Optimal provide robust capabilities for both within a single workflow.

Will non-researchers be running studies (making ease of use critical)? If this is your goal, prioritize intuitive interfaces that don't require extensive training.

Do you need global user panels, compliance features, or AI-powered analysis? Consider whether your industry requires specific certifications or if AI-assisted synthesis would meaningfully accelerate your workflow.

How important is integration with Figma, Slack, Jira, or Notion? The best platform fits naturally into your existing stack, reducing friction and increasing adoption across teams.


Evaluating All-in-One Research Capabilities

When assessing comprehensive research platforms, look beyond the feature list to understand how well different capabilities work together. The best all-in-one solutions excel at data continuity, participants recruited for one study can seamlessly participate in follow-up research, and insights from usability tests can inform survey design or interview discussion guides.

Consider your team's research maturity and growth trajectory. Platforms like Optimal that combine ease of use with advanced capabilities allow teams to start simple and scale sophisticated research methods as their needs evolve, all within the same environment. This approach prevents the costly platform migrations that often occur when teams outgrow point solutions.

Pay particular attention to analysis and reporting integration. All-in-one platforms should synthesize findings across research methods, not just collect them. The ability to compare prototype testing results with interview insights, or track user sentiment across multiple touchpoints, transforms isolated data points into strategic intelligence.

Most importantly, the best platform is the one your team will actually use. Trial multiple options, involve stakeholders from different disciplines, and evaluate not just features but how well each tool fits your team's natural workflow.

The Bottom Line: Powering Better Decisions Through Research


Each of these platforms brings strengths. But Optimal stands out for a rare combination: end-to-end research capabilities, AI-powered insights, and usability testing at scale in an all-in-one interface designed for all teams, not just specialists.

With the additions of Live Site Testing capturing authentic user behavior in production environments, and Interviews delivering rapid qualitative synthesis, Optimal helps teams make faster, better product decisions. The platform removes the friction that typically prevents research from influencing decisions, whether you're running quick usability tests or comprehensive mixed-methods studies.

The right UX research platform doesn't just collect data. It ensures user insights shape every product decision your team makes, building experiences that genuinely serve the people using them. That's the transformation happening at the moment; Research is becoming central to how we build, not an afterthought.

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Transforming digital experiences: Optimal Workshop's radical refresh

At Optimal Workshop, we've always prided ourselves on being pioneers in the field of UX research tools. Since our inception, we've been the go-to platform for UX researchers and designers looking to conduct card sorting, tree testing, and other critical user research activities. Our tools have helped shape the digital experiences of some of the world's leading companies.

The digital landscape is ever-changing, and with it, the needs of the professionals who create and optimize digital experiences. As we've grown and evolved alongside the industry, we've recognized the need to expand our reach and refine our value proposition to better serve not just UX researchers, but all professionals involved in delivering exceptional digital experiences.

That's why we're excited to announce a significant brand refresh and value pivot for Optimal Workshop. This evolution isn't just about a new coat of paint – it's a fundamental shift in how we position ourselves and the value we provide to our users and the broader digital experience community.

Why fix it if it ain’t broke? 💔🔨

Expanding Our User Base

While we've built a strong reputation among UX researchers, we've recognized that there's a broader audience of professionals who benefit from our tools and expertise. Product managers, marketers, customer experience specialists, and others involved in shaping digital experiences often lack access to professional-grade user research tools or the knowledge to effectively implement them.

Our brand refresh aims to make Optimal Workshop more accessible and relevant to this wider circle of professionals, without losing the deep respect we've earned from UX experts.

Adapting to market changes

The UX research landscape has evolved significantly since we first entered the market. With the proliferation of prototyping tools and the increasing speed of digital product development, there's been a shift away from extensive upfront research. However, we firmly believe that incorporating the voice of the customer throughout the development process is more critical than ever.

Our pivot allows us to emphasize the importance of integrating user research and insights at various stages of the digital experience lifecycle, not just during initial design phases.

Leveraging our expertise

As pioneers in the field, we have accumulated a wealth of knowledge about best practices in UX research and digital experience optimization. Our brand refresh positions us not just as a tool provider, but as a trusted partner and thought leader in the industry. We're doubling down on our commitment to sharing knowledge, standardizing best practices, and elevating the work of exceptional practitioners in the field.

Meeting evolving business needs through effective UX

The UX industry is evolving rapidly, with increasing investment and a diverse range of roles getting involved. From junior designers leveraging AI to seasoned researchers with deep expertise, the landscape is rich with talent and tools. However, the true value lies in how effectively these resources translate into business outcomes.

Optimal Workshop recognizes that exceptional digital experiences are no longer just nice-to-have – they're critical for engagement, conversion, and overall business success. Our tools bridge the gap between UX insights and tangible ROI by:

  • Democratizing research: Enabling teams across experience levels to gather valuable user data quickly and efficiently.
  • Accelerating decision-making: Providing fast, actionable insights that reduce design iterations and time-to-market.
  • Enhancing team effectiveness: Facilitating collaboration and knowledge sharing between junior and senior team members.
  • Driving business value: Directly linking UX improvements to key performance indicators and bottom-line results.

In a landscape where basic UX practices are becoming table stakes, Optimal Workshop empowers organizations to go beyond the basics. We help teams leverage the full spectrum of UX expertise – from AI-assisted analysis to seasoned human insight – to create digital experiences that truly set businesses apart and deliver measurable returns on UX investment.

What's changing at Optimal Workshop 🐛🦋

1. Best-in-class research & insights platform

While our core tools remain a critical part of our offering, we're broadening our focus to position Optimal Workshop as a best-in-class research & insights platform for digital experience professionals. This means developing new tools, workflows, and integrations that cater to a wider range of use cases and user types.

2. Accessibility without compromise

We're committed to making our professional-grade tools more accessible to a broader audience without sacrificing the depth and rigor that our expert users expect. This means developing new onboarding experiences, creating more intuitive interfaces, and providing educational resources to help users at all levels get the most out of our platform.

3. Championing best practices

As part of our evolution, we're placing a greater emphasis on identifying, sharing, and standardizing best practices in digital experience research and optimization. Through case studies, partnerships with industry leaders, and our own thought leadership content, we aim to elevate the entire field of digital experience design.

4. Fostering a community of excellence

We're doubling down on our commitment to building and nurturing a community of digital experience professionals. This includes expanding our educational offerings, hosting more events and webinars, and creating opportunities for our users to connect and learn from each other. 

5. Emphasizing outcomes and ROI

We're aligning our messaging and product development with the real-world impact our users are seeking. That’s why the new names for our tools emphasize what each tool helps you achieve, rather than the technical methodology behind it. This outcome-focused approach helps users quickly identify which tool is right for their specific needs.

How our evolution benefits you 🚀

For our long-time users, rest assured that the tools and features you know and love aren't going anywhere, but their names are changing to plain English terms to be more approachable for professionals who may not have a background in UX research. In fact, our UXR platform is only going to get better as we invest in improvements and new capabilities. You'll also benefit from an expanded community of practitioners and a wealth of new resources to help you continue to grow and excel in your field.

For professionals who may be new to Optimal Workshop or to formalized user research in general, our refresh means it's easier than ever to get started with professional-grade tools and methodologies. We're here to support you at every step, from your first card sort to building a comprehensive, data-driven approach to optimizing digital experiences.

Join us in shaping tomorrow's digital experiences 🌟

This brand refresh and value pivot mark an exciting new chapter for Optimal Workshop. We're committed to continuing our tradition of excellence while expanding our reach and impact in the world of digital experiences.

As we move forward, we'll be rolling out new features, resources, and initiatives that align with our refreshed brand and value proposition. We're excited to partner with our users – both new and long-standing – to push the boundaries of what's possible in creating truly exceptional digital experiences.

Thank you for being part of the Optimal Workshop community. Whether you're a UX research veteran or just starting your journey in optimizing digital experiences, we're here to support you with the best tools, knowledge, and community in the industry. Together, we can shape the future of digital experiences and make the online world more intuitive, efficient, and enjoyable for everyone.

Onwards and upwards,

Alex Burke, CEO Optimal Workshop

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Top Tasks in UX: How to Identify What Really Matters to Your Users

All the way back in 2014, the web passed a pretty significant milestone: 1 billion websites. Of course, fewer than 200 million of these are actually active as of 2019, but there’s an important underlying point. People love to create. If the current digital age that we live in has taught us anything, it’s that it’s never been as easy to get information and ideas out into the world.

Understandably, this ability has been used – and often misused. Overloaded, convoluted websites are par for the course, with a common tactic for website renewal being to simply update them with a new coat of paint while ignoring the swirling pile of outdated and poorly organized content below.

So what are you supposed to do when trying to address this problem on your own website or digital project? Well, there’s a fairly robust technique called top tasks management. Here, we’ll go over exactly what it is and how you can use it.

Getting to grips with top tasks

Ideally, all websites would be given regular, comprehensive reviews. Old content could be revisited and analyzed to see whether it’s still actually serving a purpose. If not, it could be reworked or just removed entirely. Based on research, content creators could add new content to address user needs. Of course, this is just the ideal. The reality is that there’s never really enough time or resource to manage the growing mass of digital content in this way. The solution is to hone in on what your users actually use your website for and tailor the experience accordingly by looking at top tasks.

What are top tasks? They're basically a small set of tasks (typically around 5, but up to 10 is OK too) that are most important to your users. The thinking goes that if you get these core tasks right, your website will be serving the majority of your users and you’ll be more likely to retain them. Ignore top tasks (and any sort of task analysis), and you’ll likely find users leaving your website to find something else that better fits their needs.

The counter to top tasks is tiny tasks. These are everything on a website that’s not all that important for the people actually using it. Commonly, tiny tasks are driven more by the organization’s needs than those of the users. Typically, the more important a task is to a user, the less information there is to support it. On the other hand, the less important a task is to a user, the more information there is. Tiny tasks stem very much from ‘organization first’ thinking, wherein user needs are placed lower on the list of considerations.

According to Jerry McGovern (who penned an excellent write-up of top tasks on A List Apart), the top tasks model says “Focus on what really matters (the top tasks) and defocus on what matters less (the tiny tasks).”

How to identify top tasks

Figuring out your top tasks is an important step in clearing away the fog and identifying what actually matters to your users. We’ll call this stage of the process task discovery, and these are the steps:

  1. Gather: Work with your organization to gather a list of all customer tasks
  2. Refine: Take this list of tasks to a smaller group of stakeholders and work it down into a shortlist
  3. User feedback: Go out to your users and get a representative sample to vote on them
  4. Finalise: Assemble a table of tasks with the one with the highest number of votes at the top and the lowest number of votes at the bottom

We’ll go into detail on the above steps, explaining the best way of handling each one. Keep in mind that this process isn’t something you’ll be able to complete in a week – it’s more likely a 6 to 8-week project, depending on the size of your website, how large your user base is and the receptiveness of your organization to help out.

Step 1: Gather – Figure out the long list of tasks

The first part of the task process is to get out into the wider organization and discover what your users are actually trying to accomplish on your website or by using your products. It’s all about getting into the minds of your users – trying to see the world through their eyes, effectively.

If you’re struggling to think of places where you might find customer tasks, here are some of the best sources:

  • Analytics: Take a deep dive into the analytics of your website or product to find out how people are using them. For websites, you’ll want to look at pages with high traffic and common downloads or interactions. The same applies to products – although the data you have access to will depend on the analytics systems in place.
  • Customer support teams: Your own internal support teams can be a great source of user tasks. Support teams commonly spend all day speaking to users, and as a result, are able to build up a cohesive understanding of the types of tasks users commonly attempt.
  • Sales teams: Similarly, sales teams are another good source of task data. Sales teams typically deal with people before they become your users, but a part of their job is to understand the problems they’re trying to solve and how your website or product can help.
  • Direct customer feedback: Check for surveys your organization has run in the past to see whether any task data already exists.
  • Social media: Head to Twitter, Facebook and LinkedIn to see what people are talking about with regards to your industry. What tasks are being mentioned?

It’s important to note that you need to cast a wide net when gathering task data. You can’t just rely on analytics data. Why? Well, downloads and page visits only reflect what you have, but not what your users might actually be searching for.

As for search, Jerry McGovern explains why it doesn’t actually tell the entire story: “When we worked on the BBC intranet, we found they had a feature called “Top Searches” on their homepage. The problem was that once they published the top searches list, these terms no longer needed to be searched for, so in time a new list of top searches emerged! Similarly, top tasks tend to get bookmarked, so they don’t show up as much in search. And the better the navigation, the more likely the site search is to reflect tiny tasks.”

At the end of the initial task-gathering stage you should be left with around 300 to 500 tasks. Of course, this can scale up or down depending on the size of the website or product.

Step 2: Refine – Create your shortlist

Now that you’ve got your long list of tasks, it’s time to trim them back until you’ve got a shortlist of 100 or less. Keep in mind that working through your long list of tasks is going to take some time, so plan for this process to take at least 4 weeks (but likely more).

It’s important to involve stakeholders from across the organization during the shortlist process. Bring in people from support, sales, product, marketing and leadership areas of the organization. In addition to helping you to create a more concise and usable list, the shortlist process helps your stakeholders to think about areas of overlap and where they may need to work together.

When working your list down to something more usable, try and consolidate and simplify. Stay away from product names as well as internal organization and industry jargon. With your tasks, you essentially want to focus on the underlying thing that a user is trying to do. If you were focusing on tasks for a bank, opt for “Transactions” instead of “Digital mobile payments”. Similarly, bring together tasks where possible. “Customer support”, “Help and support” and “Support center” can all be merged.

At a very technical level, it also helps to avoid lengthy tasks. Stick to around 7 to 8 words and try and avoid verbs, using them only when there’s really no other option. You’ll find that your task list becomes quite to navigate when tasks begin with “look”, “find” and “get”. Finally, stay away from specific audiences and demographics. You want to keep your tasks universal.

Step 3: User feedback – Get users to vote

With your shortlist created, it’s time to take it to your users. Using a survey tool like Optimal's Surveys, add in each one of your shortlisted tasks and have users rank 5 tasks on a scale from 1 to 5, with 5 being the most important and 1 being the least important.

If you’re thinking that your users will never take the time to work through such a long list, consider that the very length of the list means they’ll seek out the tasks that matter to them and ignore the ones that don’t.

A section of the customer survey in Questions.
A section of the customer survey in Questions.

Step 4: Finalize – Analyze your results

Now for the task analysis side of the project. What you want at the end of the user survey end of the project is a league table of entire shortlist of tasks. We’re going to use the example from Cisco’s top tasks project, which has been documented over at A List Apart by Gerry McGovern (who actually ran the project). The entire article is worth a read as it covers the process of running a top task project for a large organization.

Here’s what a league table of the top 20 tasks looks like from Cisco:

A league table of the top 20 tasks from Cisco’s top tasks project.
A league table of the top 20 tasks from Cisco’s top tasks project. Credit: Jerry McGovern.

Here’s the breakdown of the vote for Cisco’s tasks:

  • 3 tasks got the first 25 percent of the vote
  • 6 tasks got 25-50 percent of the vote
  • 14 tasks got 50-75 percent of the vote
  • 44 tasks got 75-100 percent of the vote

While the pattern may seem surprising, it’s actually not unusual. As Jerry explains: “We have done this process over 400 times and the same patterns emerge every single time.”

Final thoughts

Focusing on top tasks management is really a practice that needs to be conducted on a semi-regular basis. The approach benefits organizations in a multitude of ways, bringing different teams and people together to figure out how to best address why your users are coming to your website and what they actually need from you.

As we explained at the beginning of this article, top tasks is really about clearing away the fog and understanding on what really matters. Instead of spreading yourself thin and focusing on a host of tiny tasks, hone in on those top tasks that actually matter to your users.

Understanding how to improve your website

The top tasks approach is an effective way of giving you a clear idea of what you should be focusing on when designing or redesigning your website, but this should really just be one aspect of the work you do.

Utilizing a host of other UX research methods can give you a much more comprehensive idea of what’s working and what’s not. With card sorting, for example, you can learn how your users think the content on your website should be arranged. Then, with this data in hand, you can use tree testing to assemble draft structures of your website and test how people navigate their way through it. You can keep iterating on these structures to ensure you’ve created the most user-friendly navigation.

Take a look at our 101 guides to learn more about card sorting and tree testing, as well as the other user research methods you can use to make solid improvements to your website. If you’d rather just start putting methods into practice using user research tools, take our UX platform for a spin for free here.

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1 min read

Welcome to our latest addition: Prototype testing 🐣

Today, we’re thrilled to announce the arrival of the latest member of the Optimal family:  Prototype Testing! This exciting and much-requested new tool allows you to test designs early and often with users to gather fast insights, and make confident design decisions to create more intuitive and user-friendly digital experiences. 

Optimal gives you tools you need to easily build a prototype to test using images and screens and creating clickable areas, or you can import a prototype from Figma and get testing. The first iteration of prototype testing is an open beta, and we’ll be working closely with our customers and community to gather feedback and ideas for further improvements in the months to come.

When to use prototype testing 

Prototype testing is a great way to validate design ideas, identify usability issues, and gather feedback from users before investing too heavily in the development of products, websites, and apps. To further inform your insights, it’s a good idea to include sentiment questions or rating scales alongside your tasks.

Early in the design process: Test initial ideas and concepts to gauge user reactions and feelings about your conceptual solutions. 

Iterative design phases: Continuously test and refine prototypes as you make changes and improvements to the designs. 

Before major milestones: Validate designs before key project stages, such as stakeholder reviews or final approvals.

Usability Testing: Conduct summative research to assess a design's overall performance and gauge real user feedback to guide future design decisions and enhancements.

How it works 🧑🏽‍💻

No existing prototype? No problem. We've made it easy to create one right within Optimal. Here's how:

  1. Import your visuals

Start by uploading a series of screenshots or images that represent your design flow. These will form the backbone of your prototype.

  1. Create interactive elements

Once your visuals are in place, it's time to bring them to life. Use our intuitive interface to designate clickable areas on each screen. These will act as navigation points for your test participants.

  1. Set up the flow

Connect your screens in a logical sequence, mirroring the user journey you want to test. This creates a seamless, interactive experience for your participants.

  1. Preview and refine

Before launching your study, take a moment to walk through your prototype. Ensure all clickable areas work as intended and the flow feels natural.

The result? A fully functional prototype that looks and feels like a real digital product. Your test participants will be able to navigate through it just as they would a live website or app, providing you with authentic, actionable insights.

By empowering you to build prototypes from scratch, we're removing barriers to early-stage testing. This means you can validate ideas faster, iterate with confidence, and ultimately deliver better digital experiences.

Or…import your prototypes directly from Figma 

There’s a bit of housekeeping you’ll need to do in Figma in order to provide your participants with the best testing experience and not impact loading times of the prototype. You can import a link to your Figma prototype into your study,  and it will carry across all the interactions you have set up. You’ll need to make sure your Figma presentation mode is made public in order to share the file with participants. If you make any updates to your Figma file, you can sync the changes in just one click. 

Help Article: Find out more about how to set up your Figma file for testing

How to create tasks 🧰

When you set up your study, you’ll create tasks for participants to complete. 

There are two different ways to build tasks in your prototype tests. You can set a correct destination by adding a start screen and a correct destination screen. That way, you can watch how participants navigate your design to find their way to the correct destination. Another option is to set a correct pathway and evaluate how participants navigate a product, app, or website based on the pathway sequence you set. You can add as many pathways or destinations as you like. 

Adding post-task questions is a great way to help gather qualitative feedback on the user's experience, capturing their thoughts, feelings, and perceptions.

Help Article: Find out how to analyze your results

Prototype testing analysis and metrics 📊

Prototype testing offers a variety of analysis options and metrics to evaluate the effectiveness and usability of your design.  By using these analysis options and metrics, you can get comprehensive insights into your prototype's performance, identify areas for improvement, and make informed design decisions:

Task results 

The task results provide a deep analysis at a task level, including the success score, directness score, time taken, misclicks, and the breakdown of the task's success and failure. They provide great insight into the usability of your design to achieve a task. 

  • Success score tells you the total percentage of participants who reached the correct destination or pathway that you defined for this task. It’s a good indicator of a prototype's usability. 
  • Directness score is the total completed results minus the ‘indirect’ results.
  • A path is ‘indirect’ when a participant backtracks, viewing the same page multiple times, or if they nominate the correct destination but don’t follow the correct pathway
  • Time taken is how long it took a participant to complete your task and can be a good indicator of how easy or difficult it was to complete. 
  • Misclicks measure the total number of clicks made on areas of your prototype that weren’t clickable, clicks that didn’t result in a page change.

Clickmaps

Clickmaps provide an aggregate view of user interactions with prototypes, visualizing click patterns to reveal how users navigate and locate information. They display hits and misses on designated clickable areas, average task completion times, and heatmaps showing where users believed the next steps to be. Filters for first, second, and third page visits allow analysis of user behavior over time, including how they adapt when backtracking. This comprehensive data helps designers understand user navigation patterns and improve prototype usability.

Participant paths 

The Paths tab in Optimal provides a powerful visualization to understand and identify common navigation patterns and potential obstacles participants encounter while completing tasks. You can include thumbnails of your screens to enhance your analysis, making it easier to pinpoint where users may face difficulties or where common paths occured.

Coming soon to prototyping 🔮

Later this year, we’re running a closed beta for video recording with prototype testing. This feature captures behaviors and insights not evident in click data alone. The browser-based recording requires no plugins, simplifying setup. Consent for recording is obtained at the start of the testing process and can be customized to align with your organization's policies. This new feature will provide deeper insights into user experience and prototype usability.

These enhancements to prototype testing offer a comprehensive toolkit for user experience analysis. By combining quantitative click data with qualitative video insights, designers and researchers can gain a more nuanced understanding of user behavior, leading to more informed decisions and improved product designs.

Start prototype testing today

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